Home --> Services Contact
English 简体中文
Evolution Capital
Crypto Quantitative Strategy Services
Jul
2024
We are
Evolution Capital, founded in 2024 as a quantitative team
focused on crypto asset management and quantitative strategy
services. Our core team members come from the quantitative
team of top-tier crypto exchanges, with in-depth knowledge of
exchange products and extensive experience in CeFi and DeFi
quantitative strategies. Throughout their careers, they have
collectively managed assets over $800 million. Through a variety
of robust strategies, we are committed to helping our clients
achieve superior return on investment.
2024 Singapore Quantitative DeFi & CeFi
established headquarter strategies investment
01
Our Team
Alex X.
Alex graduated from the National University of Singapore (NUS) in computer science with a full government scholarship, and holds a master's
degree from UC Berkeley in the US. He has worked for one of the four largest investment banks in the US and one of the world's leading
fintech companies. He led the backend team for automatic strategy trading at a leading crypto exchange, overseeing millions of dollars in
daily trading volume. He independently developed an automatic hedging system that has achieved a total trading volume of billions of dollars.
02
Simons W.
Simons, with dual degrees in engineering and economics and a CFA charter, has nine years of experience in quantitative investment
research. He has led strategies for private quantitative funds, Wall Street hedge funds, and a crypto exchange, developing profitable
strategies and managing over $200 million in daily trading capital. He specializes in arbitrage, CTA, options, reinforcement learning hedging,
and market-making strategies, with expertise in market microstructure and AI-driven trading.
Our Team (cont.)
James G.
James G. leads backend development for arbitrage strategies at leading exchanges, with extensive experience in Java and Python. He excels
in developing low-latency services and designing efficient trading strategies. Under his leadership, the team has developed high-performance
backend services, providing a solid foundation for our strategy implementation and user experience. James constantly pursues technological
innovation and improves system performance to meet the demands of high-speed trading environments
03
Lucy L.
Lucy graduated from the National University of Singapore (NUS), the premier university in Asia. She has worked for several top-tier
investment banks in Europe and leading blockchain companies, acquiring extensive experience in leading teams to build automated trading
systems. As a CFA charterholder, Lucy has demonstrated exceptional investment acumen, achieving a 30-fold return in her personal
investments.
Our Products
Hedge arbitrage
(In pilot)
Trend alpha
(coming soon)
Composite strategy
(coming soon)
/
2021 Backtest earnings (annualized)
2022 Backtest earnings (annualized)
2023 Backtest earnings (annualized)
2024 Expected earnings (annualized)
Maximum retracement
Early warning
The initial investment amount
Appropriation of profit
Product term
88.3%
93.9%
20.36%
15%-30%
5%
3%
100,000 USDT
Management fee - 2%
Carried interest is
applicable above the hurdle
rate - further details are
available upon request
10,000 USDT 20,000 USDT
7% 5%
20% 10%
80%-300% 40%-80%
142.5%
271.06%
/ /
/
/
From half a year From half a year From half a year
04
Management fee - 2%
Carried interest is
applicable above the hurdle
rate - further details are
available upon request
Management fee - 2%
Carried interest is
applicable above the hurdle
rate - further details are
available upon request
Hedge Arbitrage - Historical Data
2020-2023 Earnings Data
See the next page for further parameters
Historical monthly and cumulative return Monthly profit distribution
* The information contained herein is for informational purposes only and is not complete, and patch performance is neither indicative of performance nor a guarantee
of future results.
05
Hedge Arbitrage - Detailed Parameters
06
Strategy combination
Start date
Object
Principle of fund allocation
Strategic composition
Local currency
Transaction Commission Estimation
Borrowing or row transaction
interest estimate
Holding period
Deposit occupation
Annualized volatility
Whether to hold an overnight position
Leverage to make the maximum
allowable annualized volatility
In January, 2020
BTC-USD; BTC-USDT; ETH-USD;
ETH-USDT, etc
BTC contract 30%, ETH contract 20%,
other 50%
Triangle, hedge, current, rate,
cross-exchange arbitrage
USDT ; BTC ; ETH
0.1%
Depending on the market
1-7 Days
80%
0-20%
yes
0-40%
Daily performance
Total
Profitability ( Maximum pullback parameter )
Total loss rate
Final profitability
Total trading days
Total profit days
Total retracement days
Net worth is less than 1 days
Flat days
Average loss
Average earnings
The average retracement
Position floating, the maximum retracement
Average daily interest rate
Average annualized rate of return
Annual volatility
Sharp rate
518.98%
3%
-0.20%
244.98%
1362
902
460
2
0
0.58%
-0.10%
-0.60%
-2.39%
0.18%
65.65%
2.18%
3.28
Hedge Arbitrage - Live Benchmark
07
Funding Fee Arbitrage Strategy
Duration: 74 days
Annualized Return:
13.06%
Spread Arbitrage Strategy
Duration: 89 days
Annualized Return:
21.06%
* The information provided herein serves as a benchmark only, without any leverage or portfolio rebalancing
Trend Alpha - Historical Data
08
Trending strategy data
* The information contained herein is for informational purposes only and is not complete, and patch performance is neither indicative of performance nor a guarantee
of future results.